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Optimization of Color Filter Sensitivity Functions for Color Filter Array Based Image Acquisition

机译:基于滤色器阵列图像采集的滤色器灵敏度函数的优化

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Color filter array (CFA) based acquisition schemes allow for the acquisition of color images with a single optical sensor and are an integral part of most consumer-level digital camera pipelines. The CFA is a mosaic of color filters overlaid on the optical sensor such that only a single spectral band is acquired at a particular location. There is thus simultaneous sampling in the spectral and spatial dimensions. In this paper we propose a joint spatial-chromatic framework for the design of optimal spectral sensitivity functions for CFA filters. We design optimal sensitivity functions for the Bayer and seven alternate CFA arrangements and demonstrate the superior performance of CFAs with optimized color filters with respect to standard RGB and CMY filters in terms of both perceived quality and the s-CIELab metric.
机译:基于滤色器阵列(CFA)的采集方案允许采集具有单个光学传感器的彩色图像,并且是大多数消费级数码相机管道的组成部分。 CFA是覆盖在光学传感器上的滤色器的马赛克,使得在特定位置仅获取单个光谱带。因此,在光谱和空间尺寸中同时采样。在本文中,我们提出了一种联合空间 - 色框架,用于CFA滤波器的最佳光谱灵敏度函数设计。我们为拜耳和七个备用CFA布置设计了最佳灵敏度功能,并在感知质量和S-CIELAB指标方面,在标准RGB和CMY过滤器方面,展示CFA具有优化滤色器的优越性。

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